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INTERNATIONAL JOURNAL OF EDUCATION, MODERN MANAGEMENT, APPLIED SCIENCE & SOCIAL SCIENCE (IJEMMASSS) [ Vol. 7 | No. 4 (III) | October - December, 2025 ]

Impact of Artificial Intelligence on Employee Productivity: A Quantitative Study of Organizational Work Performance

Dr. Shikha Nainawat

Artificial Intelligence (AI) is changing the face of modern workspaces through automation, enhanced decision-making, and increased productivity among employees. The main aim of this research paper is to explore how Artificial Intelligence impacts productivity among employees within various workspaces. The study employed quantitative data collected from various employees working within workspaces where Artificial Intelligence technology is applied, for instance, automation software, chatbots, data analysis software, and Artificial Intelligence-based management software. The study examined how Artificial Intelligence impacts productivity among employees. In this study, statistical analysis was employed to test hypotheses concerning Artificial Intelligence impacts on productivity among employees. From this study, it was established that Artificial Intelligence significantly impacts productivity among employees. The study concluded that Artificial Intelligence technology is beneficial for increasing productivity among employees within various workspaces. In this study, it was established that lack of training and fear of replacement can impact productivity among employees negatively. From this study, it was concluded that Artificial Intelligence technology can be beneficial for increasing productivity among employees within various workspaces if training is provided and human-AI collaboration is encouraged instead of automation. The study contributes to Artificial Intelligence literature on how Artificial Intelligence impacts productivity among employees within various workspaces.

Nainawat, S. (2025). Impact of Artificial Intelligence on Employee Productivity: A Quantitative Study of Organizational Work Performance. International Journal of Education, Modern Management, Applied Science & Social Science, 07(04(III)), 230–239. https://doi.org/10.62823/IJEMMASSS/07.04(III).8673
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DOI:

Article DOI: 10.62823/IJEMMASSS/07.04(III).8673

DOI URL: https://doi.org/10.62823/IJEMMASSS/07.04(III).8673

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